Fraud Analytics Data Scientist — HPCC/ECL Specialist

DataJobs; Alpharetta (GA); On-site; USD 120,000 - 170,000; Full time

Job summary

DataSeers Inc. is seeking a skilled data scientist in Alpharetta, GA, to build fraud-detection analytics. You will work onsite with HPCC Systems and ECL to transform large-scale transaction and behavior data into production-ready detection logic.

You will develop ECL-based workflows, generate features, and create baselines for customers, devices, and channels, while advancing anomaly detection and interpretable models for financial institutions.

Qualifications

• Degree in computer science, statistics, mathematics, data science, engineering, economics, or another quantitative discipline.
• 3+ years of professional data science, quantitative analytics, or fraud analytics experience.
• Hands-on experience with HPCC Systems and/or ECL, or a strong willingness to learn.
• Strong SQL skills.
• Strong statistical and analytical skills.
• Experience with very large datasets.
• Ability to explain analytical results to cross-functional teams.

Responsibilities

• Analyze large volumes of financial transaction and customer behavior data using HPCC Systems and ECL.
• Develop ECL-based analytical workflows and feature-generation pipelines.
• Create behavioral baselines for customers, accounts, devices, and transactions.
• Develop fraud and anomaly-detection methodologies for identifying unusual patterns.
• Analyze first-, second-, and third-party fraud.
• Identify unusual transaction velocity, amount, frequency, geography, and channels.
• Build features for account takeover detection and transaction anomalies.
• Translate research into production detection logic for financial institutions.
• Collaborate with FraudSeer, CrimeSeer, IdentitySeer, ETL, and platform engineering teams.

Skills

HPCC/ECL

SQL

Statistics

Big data

Anomaly detection

Feature engineering

Model evaluation

Communication

Education

Degree in a quantitative field

Tools

HPCC Systems

ECL

Python

R

Job description

DataSeers Inc. is seeking a skilled data scientist in Alpharetta, GA, to build fraud-detection analytics. You will work onsite with HPCC Systems and ECL to transform large-scale transaction and behavior data into production-ready detection logic.

You will develop ECL-based workflows, generate features, and create baselines for customers, devices, and channels, while advancing anomaly detection and interpretable models for financial institutions.